formalizing-the-binding-problem-9ff9dd26·1 events·first seen Aliases: Formalizing the Binding Problem
Researchers introduce a formal information-theoretic framework for the binding problem — the challenge of associating features (color, shape) with the correct objects in multi-object scenes. They develop a probing method to measure binding information in model representations and apply it to several pre-trained Vision Transformers, examining components like the [CLS] token and spatial tokens across datasets with feature sharing, occlusion, and natural features. Results position binding information as a key factor in visual recognition and reasoning quality, and suggest current ViT architectures have limited binding capability, consistent with known failure modes.